Data Science

Role & responsibilities

Help train, tune and evaluate our in-house models hands-on with data, experiments, and model/agent evals. You'll work closely with our Strategic Innovation Head (PhD in CS) and senior scientists.

- Fine-tune and evaluate models on domain data; run and track experiments.

- Build ground-truth and eval datasets; measure quality, drift and regressions.

- Turn traces and labels into better models, with senior guidance.

Preferred candidate profile

- 13 yrs in ML/DS (strong internships/projects count); solid model-training fundamentals.

- Familiar with fine-tuning/PEFT or transfer learning, and prompt-based tuning.

- Sound probability and statistics comfortable handling skewed/imbalanced data (resampling, class weighting) and reading metrics correctly.

- Python/Jupyter, PyTorch or scikit-learn, Hugging Face; comfortable with SQL and a vector store.

- Strong stats/math or CS foundation (Bachelor's fine); curious, fast, clear.